Stages Of Adoption Research Articles

Exploring determinants influencing artificial intelligence adoption, reference to diffusion of innovation theory

An organization's ability to accept innovation heavily depends on its leadership caliber. Although leadership is known to affect all three stages of adoption (initiation, adoption, and routinization), literature has yet to examine the specific leadership components that contribute to each of these phases. Drawing from existing literature on transformational leadership and AI adoption, this article examines how transformational leadership can facilitate the successful implementation of AI technologies. This paper explores the intersection of transformational leadership and artificial intelligence (AI) adoption within organizations. This study used data from 250 companies to develop and evaluate a framework combining the Diffusion of Innovation (DOI) theory with transformational leadership (TL). The results were analyzed using structural equation modeling (SEM) techniques. The study examined the determinants influencing the adoption of AI as a new technology. This study found TL is a crucial driver of adoption, whereas elements like vision and intellectual stimulation are essential for the Intention to adopt. Also, this research indicates that adopting a significant innovation like AI is intricately linked to leaders' vision and ability to respect and recognize the feelings and needs of others (both indicators of offering individual assistance). Additionally, practical implications and recommendations for leaders are provided to navigate the complex landscape of AI adoption.

Determinants of Generative AI System Adoption and Usage Behavior in Korean Companies: Applying the UTAUT Model

This study addresses the academic gap in the adoption of generative AI systems by investigating the factors influencing technology acceptance and usage behavior in Korean firms. Although recent advancements in AI are accelerating digital transformation and innovation, empirical research on the adoption of these systems remains scarce. To fill this gap, this study applies the Unified Theory of Acceptance and Use of Technology (UTAUT) model, surveying 300 employees from both large and small enterprises in South Korea. The findings reveal that effort expectancy and social influence significantly influence employees’ behavioral intention to use generative AI systems. Specifically, effort expectancy plays a critical role in the early stages of adoption, while social influence, including support from supervisors and peers, strongly drives the adoption process. In contrast, performance expectancy and facilitating conditions show no significant impact. The study also highlights the differential effects of age and work experience on behavioral intention and usage behavior. For older employees, social support is a key factor in technology acceptance, whereas employees with more experience exhibit a more positive attitude toward adopting new technologies. Conversely, facilitating conditions are more critical for younger employees. This study contributes to the understanding of the interaction between various factors in AI technology adoption and offers strategic insights for the successful implementation of AI systems in Korean companies.

Lung Cancer Screening Health Belief Model: Psychometric Properties of the Arabic Version and Factors Influencing Screening and Prevention Among Jordanians.

Several screening models have recently been applied to study awareness and help people make informed decisions regarding cancer screening. This study aimed to explore the knowledge, attitudes, and lung cancer screening health beliefs (LCSHBs) among Jordanians. Moreover, we intended to translate the LCSHBs scale into the Arabic language and test its validity and reliability. An online survey (Google Forms) was completed by 916 participants in Jordan via snowball sampling technique from February 10, 2024, to March 2, 2024, assessing lung cancer screening knowledge, lung cancer preventive attitudes, screening-related health beliefs, and stages of screening adoption. Linear regression analysis, correlations, and non-parametric statistics were utilized for statistical inference. Participants had high mean percentage scores of 86.56% and 85.75% for knowledge and preventive attitudes towards lung cancer screening, respectively. The Arabic version of the LCSHBs model was found to be a valid and reliable tool, as indicated by principal component analysis extraction and Cronbach's alpha values. Lung cancer screening knowledge was positively associated with perceived benefits and negatively associated with perceived barriers to screening. Knowledge, perceived barriers, perceived risk of lung cancer, self-efficacy (SE) to screen, and lung cancer preventive attitudes were significantly associated with the perceived benefits of lung cancer screening (p<0.05). We also found that the higher the SE, the higher the physical activity and the lower the perceived barriers. The Arabic version of the LCSHBs model is valid and reliable for assessing health beliefs toward lung cancer screening. We recommend enhancing targeted interventions, educational outreach, and improving health insurance access to reduce lung cancer incidence in Jordan and promote screening behaviors.

Long-term relationships between users and smart voice assistants: the roles of experience and love

PurposeThis study examines why long-term relationships between expert users and smart voice assistants (SVAs) develop. It postulates that the five dimensions of experience (i.e. sensory, affective, intellectual, behavioural and relational) generate feelings of love for SVAs. The formation of love is examined considering three components: passion, intimacy and commitment. These feelings encourage users to continue employing and to generate long-term relationships with SVAs.Design/methodology/approachData from a survey of 403 USA expert users of SVAs provide the input for structural equation modelling.FindingsThe results show that three dimensions of experience influence users’ passion towards SVAs: affective, intellectual and behavioural. Moreover, passion can convert the effect of users’ experiences into intimacy and commitment. Finally, intimacy and commitment increase users’ intentions to continue using SVAs.Originality/valueThe findings obtained make three original contributions. First, this study is the first to analyse expert users of SVAs and the post-technology adoption stage. Therefore, it introduces a new case of relational marketing in smart technologies. Second, this study contributes by applying a new theoretical perspective that evaluates the importance of users’ experiences with SVAs. Third, it takes an interpersonal approach to explore user-SVA interactions, revealing that users can develop human-like love feelings for SVAs.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2022-0570

From unknown to familiar: An exploratory longitudinal field study on occupational exoskeletons adoption

Occupational exoskeletons hold promise in preventing musculoskeletal disorders, but their effectiveness relies on their long-term use by workers.This study aims to characterize the adoption process of occupational exoskeletons by analyzing the experiences of 25 operators. Using a mixed-methods approach, both quantitative and qualitative data were collected before and during a four-week familiarization period. We primarily focused on users' expectations, subjective assessments over time, and initial experiences.Findings elucidate shifts in operators' perceptions of the devices over time. Through their narratives, we highlight how exoskeleton use impact operators' movements and the subsequent adaptations. Operators demonstrated diverse exploratory behaviors, indicating their efforts to get to grips with the effects of exoskeletons in their own ways.This study offers insights into the initial stages of occupational exoskeleton adoption, thus enriching our comprehension of rejection patterns and pathways toward their widespread acceptance.

Constitution development cyclicity and factors that influence it

The article is dedicated to the study of certain aspects of the constitution development cyclicity and the factors that influence such cyclicity. The author emphasizes that the state, society and the constitution are in constant interconnection with each other, and therefore formation of cyclicity of constitution development is inseparable from other legal phenomena. It was found that cyclicity is characterized by stability (invariability of the stages (phases) forming cyclicity of constitution development) and survivability (dynamics that forms the constitution’s ability to adapt to new challenges and tasks arising in society). The author draws attention to both actual and legal constitutions. It was established that: a) actual and legal constitutions are indeed independent juridical phenomena, however, they interact with each other and that is manifested in the aspect that de facto relations which influence emergence of an actual constitution contribute to changes of a legal constitution; b) the factors under which de facto relations are formed in the state serve as prerequisites for beginning, development or termination of the stages of adoption, reform and invalidation of the constitution. The author specifies that, since the constitution functions within the political organization of society, all factors relating to cyclicity of its development in relation to the state can be divided into internal factors arising in the state (social, cultural, economic, political, etc.) and foreign policy factors (adoption of international acts, unilateral acts of other states, etc.) which influence determination of a political course and orientation of the state and contribute to dynamism of the constitution’s life cycle. The author gives an example of an internal (political) factor influencing cyclicity of the constitution development – a choice of a new vector of Ukraine’s policy towards membership in the European Union and the North Atlantic Treaty Organization that resulted in introduction of amendments to the Constitution of Ukraine in 2019. The other example given is associated with a foreign policy factor – constitutional changes in Germany in 2022 aimed at increasing the budget expenditures of the state for its army’s defense capability because of the full-scale invasion of Ukraine.

Effective Engagement Techniques Across the Agricultural Conservation Practice Adoption Process

Encouraging agricultural landowners to adopt conservation practices is crucial to enhancing ecosystem services in privately-owned farm landscapes. To improve engagement with landowners and increase adoption rates, much research has been dedicated to investigating how different psychological, social, economic, and political factors correlate with adoption. However, these studies largely measure adoption as a discrete, binary event. Doing so obscures sequences of landowner decisions and engagement techniques that conservation practitioners use to encourage landowners’ progression through the adoption process. We report on two studies that contribute to the emerging literature on the agricultural conservation practice adoption process and the varying effectiveness of engagement techniques throughout. First, interviews with conservation practitioners in the Chesapeake Bay watershed, USA, yielded a preliminary model of the different stages in the adoption process and what techniques practitioners find effective at each stage. Second, an online experiment examined the effectiveness of a visualization intervention across two sequential outcomes in the adoption process, seeking further information and contacting a practitioner. Our results suggested that practitioners use a wide variety of engagement techniques, most of which are unique to a single stage in the adoption process, and that the effectiveness of the visualization technique varies substantially between different stages. Together these studies outline a suite of techniques that other practitioners may find effective at different stages of the adoption process, and suggest that research can better inform practice by accounting for variation in the effectiveness of different techniques across stages of adoption.

Text-first virtual care: The key to virtual care sustainability

Virtual care is, and will continue to be, a ubiquitous front door to care as it evolves as a modality to better match the demands and lifestyles of consumers. As with any technology, success comes from learning, iterating, and evolving, and this is certainly true of virtual care as it comes of age. It’s been a complex journey as the modality gained acceptance, moving through the early adopter stage into its adolescent growth spurt propelled by COVID. Virtual care’s growth has been a mix of progress and pitfalls, manifested in policy changes, market shifts, sustainability issues, and the trials of big-name players. However, these challenges have also presented new opportunities for learning, partnering, and a runway for refined models to take hold. The legacy issues surrounding virtual care are now being resolved with the data-rich approach of on-demand, text-first virtual care. Fueled by artificial intelligence (AI) and poised to drive needed change, text-first virtual care is quality-oriented, data-based, and people-first, improving patient engagement and empowering clinicians. Helen Schnase, MD, MBA, shares her experience with on-demand, text-first virtual care and gives insight on how virtual care can continue to thrive and be the ubiquitous front door to care we all want it to be. She lays out why it must be an experience that people want to use and support the tenets of: high-quality comprehensive care delivery; improved access to care; increased engagement and affordability; as well as scalability and the ability to accommodate future innovation.

Do not get lost in the cloud: how EU financial institutions could avoid problems with cloud services arising under DORA

ABSTRACT Financial institutions turn to cloud services and entrust cloud providers with increasingly important tasks. The relationship between these two groups has largely existed outside regulatory parameters, but Digital Operational Resilience Act (DORA) is set to change that dynamic when it becomes applicable in 2025. This paper tackles two issues in this context. Firstly, it identifies the legal and practical challenges that EU financial institutions may encounter while adopting and utilising cloud services under the DORA regime. Challenges during the adoption stage include the selection of providers, decisions regarding the transfer of critical or important functions, and the choice of contractual clauses. In the usage stage, data security and financial stability emerge as the most critical concerns. One overarching difficulty is concentration risk. Secondly, the question of how to address these issues arises. Fortunately, identified challenges can be mitigated if financial institutions choose appropriate cloud deployment and service models.

Defining and identifying the critical elements of operational readiness for public health emergency events: a rapid scoping review

IntroductionCOVID-19 showed that countries must strengthen their operational readiness (OPR) capabilities to respond to an imminent pandemic threat rapidly and proactively. We conducted a rapid scoping evidence review to understand...

Cross-validating four measures of technology integration: Stages of adoption, CBAM LoU, ACOT, and TPACK core

This paper presents a cross validation study of four instruments commonly used to assess educator proficiency in technology integration. Data for the validation study were contributed by 357 teacher preparation candidates enrolled in university coursework in the Netherlands. Factor analysis, multidimensional scaling, reliability analyses and analysis of variance were used to confirm that the use of four brief but individually validated measures can provide a robust measure of technology integration proficiency that can be expected to operate well in a wide range of educational contexts.

Assessment of Journalism Principles in Media: An Evaluative Instrument

ABSTRACT The integration of emerging technologies in journalism raises concerns about their impact on journalistic principles. During these technologies’ early adoption stages, there is significant experimentation with platform affordances to apply these principles in new media contexts. Current evaluations struggle to be universally applicable due to their focus on specific media platforms and contexts. To address this gap, this article introduces the Assessment of Journalism Principles in Media (AJPM) rubric, a tool that operationalizes and empirically evaluates normative journalistic principles across media technologies. The tool offers a framework for examining and comparing how different media platforms’ affordances are aligning and impacting the implementation and perception of journalistic principles. Developed using the Questionnaire Appraisal System (QAS-99), the AJPM was refined through feedback from 17 news editors and journalists from the United States, who evaluated a tool that operationalizes 21 terms from the Oxford Dictionary of Journalism. This process established content validity of the AJPM. These evaluations are crucial in validating the AJPM's effectiveness for evolving journalistic forms such as immersive journalism and AI in journalism. Future research will establish the AJPM's face, criterion, and construct validity, thereby confirming its utility in assessing journalistic principles in diverse media forms, from traditional to emerging.

Implementation of Circular Economy in a Developing Economy’s Mining Industry Using Institutional Theory: The Case of Namibia

Despite the global focus on sustainability, transitioning from linear to circular production systems is slow in the mining sector of most developing economies like Namibia. However, mining plays a crucial role in supporting the livelihoods of local communities. Furthermore, existing literature indicates that the potential for regenerative production systems using the remanufacture and recycle approach remains low and limited within the mining and developing economies. Institutional theory can help reveal the reasons for the slow take-up of the regenerative circular economy models in mining. This study uses a unique dataset of 40 semi-structured interviews with key players in the mining sector of Namibia to understand the current phase of circular economy adoption and the role played by institutional pressures in the process of institutional isomorphism, when companies would display a similar level of practices within a shared institutional environment. The findings reveal: (1) 72.5% of participants believe that Namibian mines are adoption-decision phase—a beginning stage of circular economy adoption; (2) companies are reliant on heavy government participation through policy/legislation and tax incentives is recommended; (3) the ranked order—coercive, normative, and mimetic pressures—describes their significance among key actors, for the successful adoption; and (4) proactive implementation and a mindset shift towards circularity is needed to meet emerging expectations on social and environmental concerns in mining.

Primary Non-Inversion Shallow Tillage Versus Moldboard Plowing Prior to Growing Potatoes: Short-Term Impacts on Potato Yield and Soil Properties in Eastern Canada

Potato (Solanum tuberosum L.) production often requires intensive tillage with the moldboard plow (MP), which involves deeper soil tillage and turning of the soil to provide enough loose soil for proper tuberization. Although tillage with the MP allows better potato seedbed preparation and lower weed pressure, it is also associated with increased soil compaction, soil aggregate destruction, and increased soil organic matter (SOM) mineralization. The objective of this four-year (2019–2022) study conducted in 14 commercial fields was to compare the use of MP with primary non-inversion shallow tillage (ST) in terms of their effect on selected soil health indicators, soil moisture, potato petiole nitrate concentration, potato yield, and specific gravity. Commercial fields ranged from 1.5 ha to 19 ha where the main field was split in half, with one side tilled using MP (22.5–30 cm plowing depth) and the other half using ST (15–30 cm plowing depth). Soil and plant tissue samples were taken within four sub-replicates (91 m2) created per each treatment per each site and three to four sites were used as replicates per each year. Compared to MP, ST increased active carbon by an average of 9%, soil respiration by an average of 26%, and aggregate stability by an average of 8%. Biological N availability (BNA) increased by an average of 20% with ST, and the effect was statistically significant in three out of four years. Soil moisture at 20 cm depth tended to be higher with MP than ST in three out of four years. Although not statistically significant, when averaged across four years, potato petiole nitrate concentrations were 5% and 12% higher with ST than MP in samples collected at the flowering and post-potato flowering stages, respectively. Total and marketable potato yields, along with specific gravity, were comparable for the two tillage regimes. Signs of soil improvement were observed at the early stages of ST adoption. Marketable yield was negatively correlated with the soil nitrate levels measured during the growing season but was positively correlated with active carbon, aggregate stability, and soil moisture. Future studies could compare both tillage regimes over multiple growing seasons to assess their impacts over a full cycle of rotation. The novelty of the present study was that it was conducted in real-life conditions across large growers’ fields with different conditions and across four years.

ESG Impact on LQ45 Stock Returns: Early Appraisal

This research investigates the correlation between Environmental, Social, and Governance (ESG) risk scores and stock returns in Indonesia’s LQ45 market from 2016 to 2022, considering the influence of firm size. Analyzing data from 39 LQ45-listed firms, panel data estimations, and the Hausman test, the study reaffirms the well-documented firm size effect, showing smaller firms with higher stock returns. However, it does not identify a significant impact of ESG risk scores on stock returns during the study period. This suggests that ESG practices may not yet significantly influence stock performance in the Indonesian market, possibly due to the nascent stage of ESG adoption, introduced publicly by the Ministry of Finance in 2022. The findings highlight the importance of ongoing research and awareness as Indonesia's corporate governance and investment landscape evolve with respect to ESG considerations.

Robot-assisted kidney transplantation: a propensity score-matched cohort analysis of early experience.

Kidney transplantation is the preferred treatment for patients with end-stage kidney disease. Since the introduction of robot-assisted kidney transplantation (RAKT), several centers have applied this technique as an alternative to open kidney transplantation (OKT). The objective of this study is to analyze our early experience, focusing on surgical technique and learning curve, and postoperative outcomes of RAKT. We retrospectively reviewed 782 living donor kidney transplantation recipients between January 2018 and January 2024. A propensity score-matched cohort of 50 RAKT and 150 OKT patients was evaluated for intraoperative and postoperative variables. Shewhart control charts and CUSUM analysis were used to evaluate technical outcomes and learning curves of RAKT. Postoperative eGFR values, complications, and biopsy results were compared for overall graft function and safety. RAKT patients were associated with significantly longer overall operative, rewarming, and anastomosis times. Although overall postoperative eGFR trends showed comparable graft function between RAKT and OKT recipients (51.35±2.64 vs. 54.01±1.45; P=0.315), RAKT patients with extremely long rewarming times exhibited aggravated chronic scores at 1 year protocol biopsies (Δ Chronicity Index = 4.45±1.92, P<0.001). CUSUM analysis of rewarming time revealed that proficiency in RAKT is achieved after approximately 15 cases. Despite longer anastomosis and ischemic times, even during the early stages of RAKT adoption, the RAKT group did not differ significantly in graft function or postoperative complications from the OKT group.

Green gold or carbon beast? Assessing the environmental implications of cryptocurrency trading on clean water management and carbon emission SDGs

This study addresses the ongoing debate concerning the environmental implications of cryptocurrencies. Specifically, it investigates the impact of Bitcoin trading volume on water and sanitation (Sustainable Development Goal (SDG) 6) and climate action (SDG 13). The research employs Ordinary Least Squares (OLS) panel data analysis to examine these relationships using a sample of 32 countries with available Bitcoin trading volume data from 2013 to 2020. The findings indicate that Bitcoin trading significantly and positively impacts progress towards SDG 6, suggesting potential benefits for water and sanitation initiatives. However, the study reveals a significant negative impact of higher Bitcoin trading volume on increased carbon emissions, underscoring the environmental costs associated with cryptocurrency activities. Similar impacts are observed for gold reserves, as their mining necessitates substantial energy consumption. These results highlight the need to regulate cryptocurrency trading and promote voluntary sustainable practices, particularly given the disparities between developed and emerging markets based on their governance frameworks. Additionally, the study considers the disparities between countries based on technology exports and economic policy uncertainty as influential determinants. The study's results emphasize the importance of proactive measures to ensure the responsible and sustainable use of cryptocurrencies. While cryptocurrencies offer significant economic returns, their early adoption stage necessitates further investigation into environmentally friendly approaches. Potential strategies include directing financial returns from cryptocurrencies towards alternative energy projects and supporting other environmental SDGs, thereby fostering a positive impact on the overall ecosystem. The study's implications extend to policymakers, regulators, and stakeholders, advocating for comprehensive and collaborative efforts to integrate sustainability into the rapidly evolving cryptocurrency market. This integration is crucial to ensure that the economic benefits of cryptocurrencies do not come at the cost of our environment.

Overcoming Barriers and Fostering Adoption: Evaluating the Institutional Mainstreaming of Nature-Based Solutions in the Emilia-Romagna Region’s Socio-Ecological System

International organizations like the EU and IUCN are advocating for nature-based solutions (NBSs) as green alternatives for climate change adaptation and mitigation, especially in disaster risk reduction and urban planning. The H2020 OPERANDUM project was designed to address the major hydro-meteorological risks (floods, droughts, landslides, storm surge, and coastal erosions) through the deployment and assessment of NBSs in different contexts and areas affected by specific hazards. Despite growing research and funding, NBSs are still in the early stages of mainstream adoption and face challenges in acceptance and dissemination. Although designed to benefit both social and ecological systems, they remain a niche area with low perceived effectiveness among technicians and decision-makers. Their uptake requires a paradigm shift that includes a change in cultural-cognitive institutions, a different and wider set of knowledge than traditional engineering (ecological, social), and an adaptive management approach, missing within the current governance system. Using a qualitative case study research method, this paper aims to identify barriers in mainstreaming NBSs for DRR (disaster risk reduction) in the Emilia-Romagna region—influenced not only by individual beliefs but also by variables tied to technical culture and local procedural norms—and emphasizing the importance of combining social and ecological indicators in socio-ecological system analysis.

The role of blockchain in auditing processes: A review and future perspectives

This review paper critically examines the transformative impact of blockchain technology on auditing processes. Through a comprehensive analysis of existing literature, it elucidates how blockchain can enhance audit quality, mitigate fraud, ensure data veracity, and navigate the complex landscape of regulatory compliance and ethical considerations. The review highlights the early stages of blockchain adoption in auditing and the evolving nature of the technology, emphasizing the need for further empirical research and case studies. It also underscores the importance of regulators, auditors, and technology experts collaborating to develop comprehensive guidelines and standards for responsible blockchain integration. The paper contributes to the academic discourse by bridging the gap between traditional auditing methodologies and the emerging blockchain paradigm, offering valuable insights for auditors, regulatory bodies, policymakers, and organizations.

Implementing Flipped Learning Pedagogy in Algerian Higher Education: From a recommendation to a necessity

The COVID-19 pandemic prompted a significant transformation in teaching methodologies. Flipped Learning (FL) emerged as a strategy to enhance English as a Foreign Language (EFL) instruction by emphasizing student- centered learning, autonomy, and active participation. This approach generally involves students engaging with pre-recorded lectures or online materials before class, thereby allowing in-class time to be dedicated to interactive activities, discussions, and deeper commitment with the subject matter. Although FL has gained popularity in various educational settings, its adoption and effectiveness in Algerian higher education have not been thoroughly investigated. This study investigates the experiences of EFL teachers at the Ecole Normale Supérieure "Assia Djebar" in Constantine, Algeria, focusing on their perspectives on incorporating FL into their post-pandemic teaching. Using a descriptive research design, an online questionnaire was employed to assess teachers' familiarity with FL principles, their experiences with its implementation (including challenges faced during the transition), and their views on its impact on the teaching and learning environment. The study also explored teachers' attitudes toward the necessity and potential benefits of FL in Algerian higher education. The research involved administering an online questionnaire to 20 EFL teachers during the 2021-2022 academic year. Although the sample is limited to this particular institution, it offers valuable insights into the early stages of FL adoption. The findings indicated a shift towards positive attitudes and an acknowledgment of FL's advantages, such as improved development of critical thinking skills. This suggests a growing acceptance of FL as a valuable pedagogical approach for enhancing EFL learning outcomes in Algerian higher education. By embracing the opportunities that FL presents, the higher education system in Algeria can adapt to the challenges and demands of the digital age, better preparing students to succeed in an increasingly interconnected and rapidly evolving world.